WGU D685 Practical Applications of Prompt |
OA | Objective Assessments V1, V2 and V3 |
Explore New 252 Questions and Answers |
2025/2026 Update | 100% Correct.
Verified Answers Terms in this set (252) QUESTIONS
- fundamental limitations of AI 1. The limitations of AI can be categorized
- practical limitations and challenges into three main areas:
- societal concerns and implications.
- dependence on training data 2. Fundamental limitations of AI include:
- limited common sense
- lack of emotional sense.
- perpetuating bias 3. Practical limitations of AI include:
- lack of ethics
- understanding nuances of language
and humans.
- data privacy 4. Societal concerns on AI include:
- safety
- security concerns
artificial intelligence (AI) 5. the study of creating machines and
, computer systems capable of performing
tasks that typically require human
intelligence
narrow AI 6. artificial intelligence that is designed and
trained for a specific task or narrow set
of tasks
general AI 7. a hypothetical future AI system that
would possess human-level intelligence
algorithms 8. defined methods or processes employed
to train models, generate predictions, and
execute tasks using data
machine learning 9. a branch of AI that enables computers to
improve their performance through
experience without needing explicit
programming
AI model 10. a computer program designed to make
predictions or decisions based on input
data
supervised learning 11. a technique where a model is trained
using data that includes labeled
examples, such as images with tagged
objects or text with marked entities
unsupervised learning 12. a type of machine learning where the
, model is trained on unlabeled data
without explicit guidance or supervision
reinforcement learning 13. a type of machine learning wherein an AI
agent learns through interactions with an
environment, garnering rewards or
penalties contingent upon its actions
neural networks 14. computational models inspired by the
structure and function of the human
brain's neural networks that learn from
data called training to recognize patterns,
make predictions, and perform tasks such
as classification, regression, and pattern
recognition
deep learning 15. a powerful subset of machine learning
that uses artificial neural networks to
learn from large amounts of data
generative AI 16. AI systems that can create new content
large language models (LLMs) 17. a type of machine learning model that is
trained on massive amounts of text data
to understand and generate human-like
language
natural language processing (NLP) 18. the field of AI concentrated on enabling
computers to understand and engage with
, human language, mirroring the
intricacies of human communication
chatbots 19. AI programs designed to engage in
natural conversations with people,
providing information, answering
questions, and even offering emotional
support
computer vision 20. a field of artificial intelligence that
enables computers to interpret and
analyze visual information from the real
world, such as images and videos
robotics 21. the field of AI that focuses on designing,
constructing, and operating robots
statistical analysis 22. a technique employed in AI that involves
collecting, organizing, examining, and
interpreting data to identify patterns and
make predictions
AI tools 23. software programs designed to assist
users in performing AI-related tasks
This is an example of Few-Shot 24. Match the example prompts with the
Prompting technique:
"Write a dialogue between two friends
planning a trip."
OA | Objective Assessments V1, V2 and V3 |
Explore New 252 Questions and Answers |
2025/2026 Update | 100% Correct.
Verified Answers Terms in this set (252) QUESTIONS
- fundamental limitations of AI 1. The limitations of AI can be categorized
- practical limitations and challenges into three main areas:
- societal concerns and implications.
- dependence on training data 2. Fundamental limitations of AI include:
- limited common sense
- lack of emotional sense.
- perpetuating bias 3. Practical limitations of AI include:
- lack of ethics
- understanding nuances of language
and humans.
- data privacy 4. Societal concerns on AI include:
- safety
- security concerns
artificial intelligence (AI) 5. the study of creating machines and
, computer systems capable of performing
tasks that typically require human
intelligence
narrow AI 6. artificial intelligence that is designed and
trained for a specific task or narrow set
of tasks
general AI 7. a hypothetical future AI system that
would possess human-level intelligence
algorithms 8. defined methods or processes employed
to train models, generate predictions, and
execute tasks using data
machine learning 9. a branch of AI that enables computers to
improve their performance through
experience without needing explicit
programming
AI model 10. a computer program designed to make
predictions or decisions based on input
data
supervised learning 11. a technique where a model is trained
using data that includes labeled
examples, such as images with tagged
objects or text with marked entities
unsupervised learning 12. a type of machine learning where the
, model is trained on unlabeled data
without explicit guidance or supervision
reinforcement learning 13. a type of machine learning wherein an AI
agent learns through interactions with an
environment, garnering rewards or
penalties contingent upon its actions
neural networks 14. computational models inspired by the
structure and function of the human
brain's neural networks that learn from
data called training to recognize patterns,
make predictions, and perform tasks such
as classification, regression, and pattern
recognition
deep learning 15. a powerful subset of machine learning
that uses artificial neural networks to
learn from large amounts of data
generative AI 16. AI systems that can create new content
large language models (LLMs) 17. a type of machine learning model that is
trained on massive amounts of text data
to understand and generate human-like
language
natural language processing (NLP) 18. the field of AI concentrated on enabling
computers to understand and engage with
, human language, mirroring the
intricacies of human communication
chatbots 19. AI programs designed to engage in
natural conversations with people,
providing information, answering
questions, and even offering emotional
support
computer vision 20. a field of artificial intelligence that
enables computers to interpret and
analyze visual information from the real
world, such as images and videos
robotics 21. the field of AI that focuses on designing,
constructing, and operating robots
statistical analysis 22. a technique employed in AI that involves
collecting, organizing, examining, and
interpreting data to identify patterns and
make predictions
AI tools 23. software programs designed to assist
users in performing AI-related tasks
This is an example of Few-Shot 24. Match the example prompts with the
Prompting technique:
"Write a dialogue between two friends
planning a trip."
